[HTML][HTML] Deep learning in optical metrology: a review

C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan… - Light: Science & …, 2022 - nature.com
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …

[HTML][HTML] Nano biosensors: properties, applications and electrochemical techniques

X Huang, Y Zhu, E Kianfar - Journal of Materials Research and Technology, 2021 - Elsevier
A sensor is a tool used to directly measure the test compound (analyte) in a sample. Ideally,
such a device is capable of continuous and reversible response and should not damage the …

The colony predation algorithm

J Tu, H Chen, M Wang, AH Gandomi - Journal of Bionic Engineering, 2021 - Springer
This paper proposes a new stochastic optimizer called the Colony Predation Algorithm
(CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical …

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

J Hu, H Chen, AA Heidari, M Wang, X Zhang… - Knowledge-Based …, 2021 - Elsevier
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …

[HTML][HTML] Calibration of fringe projection profilometry: A comparative review

S Feng, C Zuo, L Zhang, T Tao, Y Hu, W Yin… - Optics and lasers in …, 2021 - Elsevier
Fringe projection profilometry is widely used for three-dimensional (3D) measurements.
System calibration is crucial to fringe projection systems, since it determines how the phase …

[PDF][PDF] Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement

Y Li, J Qian, S Feng, Q Chen, C Zuo - Opto-Electronic Advances, 2022 - researching.cn
Single-shot high-speed 3D imaging is important for reconstructions of dynamic objects. For
fringe projection profilometry (FPP), however, it is still challenging to recover accurate 3D …

Flood susceptibility assessment using novel ensemble of hyperpipes and support vector regression algorithms

A Saha, SC Pal, A Arabameri, T Blaschke, S Panahi… - Water, 2021 - mdpi.com
Recurrent floods are one of the major global threats among people, particularly in
developing countries like India, as this nation has a tropical monsoon type of climate …

Deep learning spatial phase unwrapping: a comparative review

K Wang, Q Kemao, J Di, J Zhao - Advanced Photonics Nexus, 2022 - spiedigitallibrary.org
Phase unwrapping is an indispensable step for many optical imaging and metrology
techniques. The rapid development of deep learning has brought ideas to phase …

Generalized framework for non-sinusoidal fringe analysis using deep learning

S Feng, C Zuo, L Zhang, W Yin, Q Chen - Photonics Research, 2021 - opg.optica.org
Phase retrieval from fringe images is essential to many optical metrology applications. In the
field of fringe projection profilometry, the phase is often obtained with systematic errors if the …

State-of-the-art active optical techniques for three-dimensional surface metrology: a review

AG Marrugo, F Gao, S Zhang - JOSA A, 2020 - opg.optica.org
This paper reviews recent developments of non-contact three-dimensional (3D) surface
metrology using an active structured optical probe. We focus primarily on those active non …